code: def _load_opt(self, checkpoint: str, device: Device):
      self.model = AutoModelForCausalLM.from_pretrained(
          checkpoint,
          device_map="auto",
          torch_dtype=torch.float16,
          max_length=1024,
      )
      return self.model
  
imports: from __future__ import annotations
  from abc import ABC, abstractmethod
  from typing import Union, cast, Sequence
  from typing_extensions import Literal, get_args
  import numpy
  import torch
  import torch.nn.functional
  from transformers import AutoModelForCausalLM, AutoTokenizer
  from accelerate import Accelerator
  from .isp_dataset import ClassificationExample, Example, ExampleWithClasses, LogoddsExample, SequenceProbExample, NumericExample, TaskType
  from .isp_utils import BasicParser
  from .isp_utils import OpenAIModel, OpenaAIModelList
label_desc: Use image node_id 2 for calling the HFModel obj's underlying member method code with example usage: obj._load_opt(checkpoint, device) and returns: self